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Mustererkennung (Pattern Recognition)
  • Winter Semester Lectures and Practicals
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    • ⤶ Teaching & Studies
    • ⌂ IfN

Mustererkennung (Pattern Recognition)

Contents

  • Bayesian decision rule
  • Performance assessment in pattern recognition
  • Supervised learning with parametric densities
  • Supervised learning with non-parametric densities, classification
  • Linear decision functions, single-layer perceptron
  • Support vector machines (SVMs)
  • Multi-layer perceptron, neural networks (NNs)
  • Boosting methods
  • Non-supervised learning, clustering

Lecturer: Prof. Tim Fingscheidt
Assitant: Björn Möller

Lecture (ET-NT-102):
Contact hours (SWS): 2 h
Start: 14 Oct 2024
Time: Mon 13:15 - 14:45
Location: SN 22.1 
Language: German
StudIP Link

Seminar (ET-NT-103):
Contact hours (SWS): 2 h (held as block seminar)
Date: 03.02. and 04.02.2025
Time: 9.30 am - 6:00 pm
Location: SN 22.1
Language: German

Accompanying material

Accompanying material will be uploaded on StudIP.

Latest information

Latest informations and material can be found on the Stud.IP page of the lecture as soon as the page is enabled.

To participate in the lecture and the seminar, a registration in Stud.IP is necessary.

Examination

Type: Written exam
Date: 26.02.2025
Time: 8:00 a.m. - 9:30 a.m.

Entry: 7:30 a.m.

Location: ZI 24.1, ZI 24.2

More information will be provided as soon as possible on the StudIP page.

The exam results are available at.

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